Research

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Modeling and Simulation of Complex Systems

My research primarily involves stochastic simulation (discrete-event, agent-based, and Monte Carlo), statistical data analysis, and optimization approaches in design and operation of complex systems. My methodological and applied research aim to develop innovative algorithms that contribute to the science of decision-making in a wide range of areas from queueing systems, supply chains, bike sharing, energy, and infrastructure resilience to infectious disease modeling and intersection of production and marketing strategies for innovations.

S. M. Srinivasan, R. Sangwan, A. Negahban (co-PI). “Impact of Social Distancing Measures on Social, Economic, and Emotional Well-Being When Managing Response to Pandemics,” Funded jointly by the Social Science Research Institute, the Institute for Computational and Data Sciences, and the Huck Institutes of the Life Sciences, The Pennsylvania State University, April 2020 – October 2020, $33,778.

Immersive Simulation-Based Learning

The project involves designing, developing, and assessing the effectiveness of problem-based learning (PBL) via immersive simulations. An immersive simulation PBL module is a learning environment specified by: (a) A virtual setting (immersive simulation model) that resembles a real system/environment and enables contextually enriched, technology-enhanced active learning and can be explored on a 2D display or via a virtual reality (VR) headset (if available); (b) processes in the virtual environment that include multiple stations, and comprise technical as well as organizational aspects; (c) A set of products or entities that flow throughout the environment and are processed (e.g., manufactured, assembled, stored, transported); and, (d) a didactical concept that comprises formal and informal learning, enabled by own actions of the learners during and after virtual site visits/field trips based on remote active learning instead of on-site learning. These represent problems/projects inspired by real-world situations and tied to the emerging and growing STEM workforce needs. More information and open online immersive simulation PBL modules can be found in the project’s website: https://sites.psu.edu/immersivesimulationpbl/